Advances in Continuous Optimization


Coverimage

Event information

Description

This workshop brings together leading experts to discuss recent advances in algorithmic optimization, spanning theory, methods, and applications. Topics include optimization with partial differential equation constraints, numerical methods for large-scale systems, model reduction, optimal control, and inverse problems, as well as emerging approaches in uncertainty quantification and machine learning–driven optimization. By highlighting both methodological innovations and practical applications, the workshop reflects the broad and deep impact of algorithmic optimization in modern science and engineering. The event is organized on the occasion of Volker Schulz’s birthday, honoring his pioneering contributions to the field.

Date and Location

This one-day workshop will take place on November 28, 2025 in the conference room (5th floor) of the Mathematikon of Heidelberg University, Im Neuenheimer Feld 205.

Scientific Program

Presentations at this event are by invitation only. The following program is preliminary and subject to change.

Time Description
09:45 - 10:00 Opening
10:00 - 10:45 Stefan Volkwein: Optimization, Model Reduction and Control: Recent Contributions for the Lake Constance
10:45 - 11:30 Michael Hinze: On Convergence of Steepest Descent in PDE Constrained Shape Optimization
11:30 - 12:00 Coffee break
12:00 - 12:45 Christina Schenk: From Uncertainty to Decision: Probabilistic and ML-Driven Optimization for Materials Discovery
12:45 - 13:30 Marc Steinbach: Data-Driven Elasticity in Hilbert Space
13:30 - 14:30 Lunch break at Bräustadel
14:30 - 15:15 Anton Schiela: Constrained Optimization on Manifolds
15:15 - 16:00 Alfio Borzi: Applications of Optimal Control to Kinetic Models
16:00 - 16:30 Coffee break
16:30 - 17:15 Moritz Diehl: Numerical Optimal Control of Nonsmooth Systems
17:15 - 18:00 Nico Gauger: Solving Distributionally Robust Shape Design Problems with Applications in Aerospace

Registration

Registration for this event is free of charge but mandatory. Please register by November 14, 2025.